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Xiangyu Li

PhD Candidate

Xiangyu is a PhD student at Colorado School of Mines working with Dr. Hua Wang on research in Machine Learning.

Research Area

  • Convex/Non-convex Optimization
  • Matrix/Tensor Factorization
  • Computer Vision/Pattern Recognition

Publications

2024

Robust Spherical Laplacian Embedding

Xiangyu Li, Hunter Belcher, Hua Wang

TNNLS

Journal

On Mean-Optimal Robust Linear Discriminant Analysis

Xiangyu Li, Hua Wang

TKDD

Journal

2023

Beyond the Simplex: Hadamard-Infused Deep Sparse Representations for Enhanced Similarity Measures

Xiangyu Li, Umberto Gherardi, Armand Ovanessians, Hua Wang

ICKG

Conference

Enriched Representation Learning for Longitudinal Chest X-ray Analysis: A Novel Approach for Improved Disease Detection and Localization

Xiangyu Li, Armand Ovanessians, Hua Wang

ICDM

Conference

Discovering Protein Interactions and Repurposing Drugs in SARS-CoV-2 (COVID-19) via Learning on Robust Multipartite Graphs

Xiangyu Li, Armand Ovanessians, Hua Wang

ICDM

Conference

2022

On Mean-Optimal Robust Linear Discriminant Analysis

Xiangyu Li, Hua Wang

ICDM

Conference

Adaptive Principal Component Analysis

Xiangyu Li, Hua Wang

SDM

Conference

2021

Factor Bounded Nonnegative Matrix Factorization

Kai Liu, Xiangyu Li, Zhihui Zhu, Lodewijk Brand, Hua Wang

TKDD

Journal

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